1. Cooperative low-rank models for removing stripe noise from OCTA images

    Cooperative low-rank models for removing stripe noise from OCTA images

    Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the involuntary movement of the eye. To remove the stripe noise (or 'destriping') effectively, we propose two novel image decomposition models to simultaneously destripe all the OCTA images of the same eye in a cooperative way: cooperative uniformity destriping (CUD) and cooperative similarity destriping (CSD) model. Both the models consider stripe noise by low-rank constraint ...

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